As cool as the name sounds, it's an company for the Urban households that has transformed
A) Convenience B) Accessibility for home essential services like home cleaning, salon & spa, carpentering, electricians etc.
Picture this, it is 2012 & Cleaning bathrooms, Overgrown beards, Broken cupboards & Messed up furniture items in the living room means running after 3 different blue-collared people to fix them.
This was the struggle of every young Indian in an Urban Household. The market of blue-collared home service workforce was completely unorganised & heavily cluttered with local agencies & individual gig-workers.
In Nov'14, a movement began that redefined convenience & accessibility of essential home services for India forever - UrbanClap was born (changed to Urban Company in Jan'20).
-> 5.8 Million Transacting users (FY'23)
-> 77% repeat rate (We expect this number to surpass 90% in the coming years. ~ UC)
-> 60+ Cities
-> 4.82 Avg. Rating in FY23
-> Losses: Rs 308Cr in FY23 (Rs 514 Cr in FY25) 😅
Worker satisfaction:
• The top 20% of partners earned an average of ~ INR 40,000 per month, net of all commissions and other related costs (Travel, product expenses etc.) in H1 CY23
• The average net earnings of partners delivering >30 services per month were ~ INR 32,000
• Despite decent earnings, my interaction with 5 UC workers led to....
Services:
-> Beyond direct competitors like Yes Madam or Housejoy, indirect solutions like local service providers or freelance apps are relevant.
-> UC’s core is offering trust, convenience, and expertise in personal and home services—solving user problems like time constraints, service uncertainty, and quality assurance.
-> Customer's love Urban Company: 77% repeat rate (FY23),
"We expect this number to surpass 90% in the coming years" ~ UC (Official statement on the website)
Urban Company's Web Traffic Analysis:
1. Gender Ratio:
68% Males | 32% Females
2. Age:
20.79% (18-24)
40.49% (25-34)
14.42% (35-44)
10.09% (45-54)
7.84% (55-64)
6.37% (65+)
3. What other platforms do they visit:
- yesmadam.com
- hometriangle.com
- serviceonwheel.com
4. Top industries they are in:
Computers, Electronics & Technology > Investing > Programming & Software development > Finance - other > Banking
Marketing Channels:
1. Organic Search: 45.01%
2. Direct: 37.62%
3. Paid ads: 11.89%
4. Referrals: 3.19%
5. Social: 1.8%
6. Display: 0.42%
7. Mail: 0.07%
Social Media Channels:
1. YouTube - 53.53%
2. Others - 15.56%
3. Linkedin - 9.95%
4. Twitter - 7.8%
5. Facebook - 7.27%
6. Instagram - 5.89%
I conducted a survey with 12+ people, a variety of people living in metro & tier 2 cities and with varying professions, lifestyles & product usage patterns.
Here are the repsonses to the survey:
Issues identified in the user journey:
-> Automatically addition of UC Plus membership even when you haven’t bought it, people become frustrated and even sometimes confused and dropped in between.
Important user patterns:
Recent trends:
ICP table, based on Data, Survey & User interviews
Criteria | User 1 | User 2 |
---|---|---|
Name | Shina | Shinu |
Age | 25 | 45 |
Need | Makeup & Hair | Cleaning the dirty home |
Pain Point | Convenience | Urgency |
Solution | Salon & Spa service | Home cleaning service |
Behaviour | Repetitive | Repetitive |
Perceived Value of Brand | Premium | Convenient & Affordable w.r.t quality provided |
Goals | Look nice & pretty | Home should look clean |
Frequency of use case | Occasionally | Occasionally |
Average Spend on the product | 1,500 | 2,200 |
Value Accessibility to product | Yes | Yes |
Appetite to Pay | Yes | Yes |
Referral potential | Medium to High | High |
How did they discover UC | Through a friend | Through a neighbour |
City | Tier 1 | Tier 2 |
Trigger of purchase | Occasion/ Event | Festival/ People coming at home |
Organic Keywords:
Urban Company falls behind in certain very common keywords.
Salon & Spa makes up 50% of their revenue, yet a simple google search of "spa at home" led to a long list of services without Urban Company showing up.
Baseline Organic Traffic Calculation
Since 83% of Urban Company’s total traffic comes from organic search and direct traffic, we can estimate the current organic traffic as follows:
Current Monthly Organic Visits = 1.946 million × 0.45 = 0.8757 million
Thus, Urban Company’s current organic traffic is approximately 875,700 visits per month.
Projected Increase in Organic Traffic from Keyword Expansion
To expand from 4,000 keywords to 6,000 keywords (a 50% increase), we estimate that traffic could grow by 30-50% from keyword expansion.
New Organic Traffic from Keyword Expansion = 875,700 × 1.3 to 1.5 = 1,138,410 to 1,313,550
This represents an increase of 262,710 to 437,850 additional monthly visits from keyword expansion.
Projected Increase from Ranking Optimization
Improving the ranking of 20% of existing keywords (800 keywords) from positions 5–15 to the top 3 could further increase traffic, as top positions capture significantly more clicks. With each improved keyword yielding 2–3x the traffic, we can calculate the additional traffic as follows:
Additional Traffic from Ranking Improvements = 875,700 × 0.2 × 2.5 = 437,850 additional monthly visits
Total Projected New Organic Traffic
Combining the increases from keyword expansion and ranking optimization:
Total Projected Organic Traffic = 1,138,410 + 437,850 = 1,576,260 to 1,313,550 + 437,850 = 1,751,400
This brings the total organic traffic to between 1.576 million and 1.751 million visits per month.
Conversion Rate and Revenue Impact
Assuming a 2% conversion rate on organic traffic:
New Monthly Conversions = 1,576,260 × 0.02 to 1,751,400 × 0.02
= 31,525 to 35,028 new customers per month
Using the ARPU (ARPU calculated in the next channel) of INR 1098.28, we can calculate the additional revenue as follows:
Additional Monthly Revenue = 31,525 × 1098.28 to 35,028 × 1098.28
= INR 34,619,737.70 to INR 38,458,981.84
Annualised Additional Revenue = 34,619,737.70 × 12 to 38,458,981.84 × 12
= INR 415,436,852.40 to INR 461,507,782.08
This means Urban Company could potentially add INR 415 million to INR 461 million in annual revenue from organic search alone.
Total Estimated Annual Cost
Estimated Total Cost Range: INR 10.72 million to INR 14.88 million
Conclusion:
With the additional projected annual revenue of INR 415–461 million, the estimated cost of INR 10.72–14.88 million yields a high return on investment.
ARPU = [ Transacting Users / Total Revenue ]
Given:
So,
ARPU = 637 crore / 5.8 million
ARPU ≈ 1098.28
The ARPU is approximately INR 1098.28 per user.
For LTV, we need to know:
Assumptions for Urban Company:
Using the formula:
LTV = AOV × Average Transactions per Year × Average Lifespan × Gross Margin
Using 2 transactions / year, a lifespan of 3 years, and 20% margin:
LTV = 549.14×2×3×0.2 = INR 658.97
Estimated LTV: INR 658.97
To calculate AOV, we need to assume an average number of orders per transacting user annually.
Given a 77% repeat rate, let’s assume an average of 2 transactions per user for FY23 (a conservative estimate to account for non-repeat customers). Then:
AOV = Total Revenue / Total Transactions
Total transactions (with 2 per user):
5.8 million users × 2 = 11.6 million transactions 5.8million users × 2 = 11.6million transactions
So,
AOV= 6370 million / 11.6 million ≈ INR 549.14
Estimated AOV: INR 549.14
Referral Program Reach
Assuming a 5% referral rate, we estimate how many of these users would refer Urban Company to others:
Referred Users = Initial User Base × Referral Rate = 5.8 million × 0.05 = 290,000 referrals
So, 290,000 users are likely to refer Urban Company to others.
Click Rate on Referral Message
Out of these referrals, we assume a 30% WhatsApp message click rate:
Clicks = Referred Users × Click Rate = 290,000 × 0.30 = 87,000 clicks
So, 87,000 users are likely to click on the referral link/message.
App Install Rate
Assuming a 50% install rate from those who clicked:
Installs = Clicks × Install Rate Installs = 7,000 × 0.50 = 43,500 installs = 87,000 × 0.50 = 43,500 installs
So, 43,500 users are likely to install the app.
Onboarding and Service Availment Rate
With an onboarding rate of 40%, representing those who fully onboard and redeem the referral incentive by availing of the service:
Onboarded Users = Installs × Onboarding Rate = 43,500 × 0.40 = 17,400 new users
So, Potential new users acquired via referrals: 17,400
Unit Economics
Each new user through the referral program costs INR 100 (in referral bonuses).
So, Total Referral Cost = New Users × Referral Bonus = 17,400 × 100 = INR 1,740,000
So, Cost to Urban Company would be: INR 17,40,000
Total Revenue Add
Total Revenue Add = New Users × LTV = 17,400 × 658.97 ≈ INR 11,464,078
So, Total addition in Urban Company's revenue would be: INR 1,14,64,078
Conclusion
By repositioning the referral program as the centerpiece, Urban Company could acquire an estimated 17,400 new users at a total cost of INR 1.74 million in referral bonuses which would add a total of INR 11.46 million in revenue over these customers’ lifetime. This shift could also improve the user experience by eliminating the irritations caused by the current automatic membership plug.
ROI: 558.86%
This was my 1st attempt of working on a product that's at post - PMF stage
So far, I've worked only with & around very early stage startups (all pre - PMF)
It'll get better with each project (pinky promise), thank you <3
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